Ph.D. in Computer Engineering, Florida Institute of Technology, Melbourne, Florida. Majoring in speech recognition. Dissertation topic is “Studying Pharyngeal and Emphatic Sounds in Arabic Speech Recognition.” Arabic emphatic and pharyngeal sounds were studied from the speech recognition field point of view. The study concentrated on finding the unique characteristics of these sounds, comparing these sounds to English sounds, and investigating the effect of these sounds on the Arabic speech recognition systems. A complete Arabic speech recognition system was built and tested on Arabic alphabet. Several speech recognition algorithms were investigated and compared in the case of Arabic language.

1992-1994

MS in Computer Engineering, Florida Institute of Technology. Majoring in speech processing. Designed and implemented an algorithm for speech compression. The algorithms used frequency and Cepstrum domains to extract important signal characteristics that are enough to restore the signal in the decompression process.

Professor, Computer Engineering Department, College of computer and information sciences, King Saud University. He is currently teaching Signals and Systems (CEN340). Supervising M.Sc., PhD, and Bachelor graduating projects.

National Information Center, Riyadh, Saudi Arabia, working on research and development projects. These projects are digital signal processing and image processing related.

1988-1992
Research and Development Center (RDC), National Information Center, Riyadh, Saudi Arabia. Worked for the RDC for overseas design project contracts as follows:

Jan 1990-Jul 1991: Jetta Computer products Inc., Houston, Texas. In this project, a Digital Signal Processing (DSP) board based on TMS320C25 TI DSP processor and TRW DSP chip was developed, implemented and tested. Digital speech compression theories were designed and implemented using this board. Speech compression ratio of 1:25 was achieved. This system was used for a low cost hand-held transceiver.

Dec. 1988-Dec.1989: ALELM Research and Development Corp., Virginia Beach, Virginia. In this project, a DSP board based on TMS320C25 TI DSP processor was designed. This design was used to run and investigate DSP algorithms, i.e., Fast Fourier Transform (FFT), Inverse FFT, digital filters.